Handling the flow of growing amounts of messy data from multiple sources throughout the enterprise is a complex process. Whether moving transactional data so that it can be reported upon, migrating application data from old systems to new ones, or integrating data from external suppliers or partners, the reliable management of data streams can present a challenge to IT organizations. Because these movements of data can be scheduled on a regular basis or executed based on specific triggers, ETL and data warehousing processes inherently lend themselves to automation. Automation brings a host of benefits to these processes including faster delivery times, improved productivity, reduced cost, decreased risk of error, and higher levels of data quality, among others. But the automation tools commonly available often don’t provide the flexibility that is needed for granular and end-to-end automation. For most organizations a different approach, a unified workload automation solution, is needed to achieve all the benefits that automation can provide.

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